SmogRank / History / week of December 9, 2024

Most polluted cities, week of December 9, 2024

2,133 cities ranked by their average PM2.5 over the 7 days; the worst was Dhaka, Bangladesh, at 200.1 µg/m³. A city needs measurements on 70% of the days to be ranked.

  1. 1Dhakalow-cost sensorsDhaka Division, Bangladesh
    200.1
  2. 2Lahorelow-cost sensorsPunjab, Pakistan
    188.6
  3. 3KolkataWest Bengal, India
    166.9
  4. 4Ulan BatorUlaanbaatar, Mongolia
    133.7
  5. 5DelhiDelhi, India
    127.3
  6. 6Kampalalow-cost sensorsCentral Region, Uganda
    117.3
  7. 7Peshawarlow-cost sensorsKhyber Pakhtunkhwa, Pakistan
    107.6
  8. 8Islamabadlow-cost sensorsIslamabad, Pakistan
    105.8
  9. 9N'DjamenaN’Djaména, Chad
    100.6
  10. 10BaghdadBaghdad, Iraq
    99.8
  11. 11Kathmandulow-cost sensorsBagmati Province, Nepal
    87.9
  12. 12DushanbeDushanbe, Tajikistan
    77.8
  13. 13Yerevanlow-cost sensorsYerevan, Armenia
    75.1
  14. 14SalorTashkent Region, Uzbekistan
    71.5
  15. 15Şabāḩ as SālimMubārak al Kabīr, Kuwait
    71.4
  16. 16Novi PazarCentral Serbia, Serbia
    67.0
  17. 17MumbaiMaharashtra, India
    65.4
  18. 18ChennaiTamil Nadu, India
    65.2
  19. 19CairoCairo, Egypt
    56.7
  20. 20Banja LukaSrpska, Bosnia and Herzegovina
    55.6
  21. 21Abidjanlow-cost sensorsAbidjan Autonomous District, Ivory Coast
    55.5
  22. 22ValjevoCentral Serbia, Serbia
    55.0
  23. 23Kinshasalow-cost sensorsKinshasa, Democratic Republic of the Congo
    51.2
  24. 24UžiceCentral Serbia, Serbia
    48.8
  25. 25Almatylow-cost sensorsAlmaty, Kazakhstan
    47.5
  26. 26Santa Anita - Los FicusLima region, Peru
    44.1
  27. 27Zagreblow-cost sensorsZagreb, Croatia
    43.4
  28. 28LazarevacCentral Serbia, Serbia
    42.0
  29. 29PirotCentral Serbia, Serbia
    41.5
  30. 30Abujalow-cost sensorsFCT, Nigeria
    41.2
  31. 31NišCentral Serbia, Serbia
    41.1
  32. 32KigaliKigali, Rwanda
    40.6
  33. 33KraljevoCentral Serbia, Serbia
    40.4
  34. 34ČačakCentral Serbia, Serbia
    39.9
  35. 35ShanghaiShanghai, China
    39.1
  36. 36SmederevoCentral Serbia, Serbia
    38.6
  37. 37ShenyangLiaoning, China
    37.9
  38. 38KragujevacCentral Serbia, Serbia
    36.5
  39. 39ObrenovacCentral Serbia, Serbia
    36.3
  40. 40PančevoVojvodina, Serbia
    35.5
  41. 40GuangzhouGuangdong, China
    35.5
  42. 42Debrecenlow-cost sensorsHajdú-Bihar, Hungary
    35.4
  43. 42TravnikFederation of B&H, Bosnia and Herzegovina
    35.4
  44. 44Chiang Mailow-cost sensorsChiang Mai, Thailand
    35.2
  45. 45SarajevoFederation of B&H, Bosnia and Herzegovina
    35.1
  46. 46ZemunCentral Serbia, Serbia
    34.7
  47. 47SremčicaCentral Serbia, Serbia
    34.4
  48. 48Accralow-cost sensorsGreater Accra, Ghana
    33.9
  49. 49YangonYangon, Myanmar
    32.9
  50. 50ZgierzŁódź Voivodeship, Poland
    32.6
  51. 51Medina Estateslow-cost sensorsGreater Accra, Ghana
    32.3
  52. 52JeddahMecca Region, Saudi Arabia
    31.7
  53. 53Bangkoklow-cost sensorsBangkok, Thailand
    31.6
  54. 54BelgradeCentral Serbia, Serbia
    31.5
  55. 55Jacobo HunterArequipa, Peru
    30.8
  56. 56FutogVojvodina, Serbia
    30.4
  57. 57Tuen MunTuen Mun, Hong Kong
    30.2
  58. 58NegotinCentral Serbia, Serbia
    30.1
  59. 59Silao de la VictoriaGuanajuato, Mexico
    29.4
  60. 60ChaozhouTaiwan, Taiwan
    29.3
  61. 60SallanchesAuvergne-Rhône-Alpes, France
    29.3
  62. 62AntananarivoAnalamanga, Madagascar
    29.2
  63. 63Skarżysko-KamiennaŚwiętokrzyskie, Poland
    28.7
  64. 63Wan ChaiWan Chai, Hong Kong
    28.7
  65. 65DejCluj County, Romania
    28.4
  66. 66San Tung Chung HangIslands, Hong Kong
    28.1
  67. 67ĆuprijaCentral Serbia, Serbia
    27.6
  68. 68BakuBaki, Azerbaijan
    27.2
  69. 68PtujUrban Municipality of Ptuj, Slovenia
    27.2
  70. 70IrapuatoGuanajuato, Mexico
    27.0
  71. 71Dubailow-cost sensorsDubai, United Arab Emirates
    26.8
  72. 72Istanbullow-cost sensorsIstanbul, Turkey
    26.1
  73. 73Tin Shui WaiYuen Long, Hong Kong
    26.0
  74. 73CeljeUrban Municipality of Celje, Slovenia
    26.0
  75. 73Naucalpan de JuárezMéxico, Mexico
    26.0
  76. 76CodleaBrașov County, Romania
    25.8
  77. 77FanlingNorth District, Hong Kong
    25.1
  78. 78BeijingBeijing, China
    24.8
  79. 78Novi SadVojvodina, Serbia
    24.8
  80. 80FengshanTakao, Taiwan
    24.7
  81. 81PiscoIca, Peru
    24.5
  82. 82JinchengFukien, Taiwan
    24.4
  83. 83Mong KokYau Tsim Mong District, Hong Kong
    24.3
  84. 84KaohsiungTakao, Taiwan
    24.2
  85. 84León de los AldamaGuanajuato, Mexico
    24.2
  86. 86Tai PoTai Po, Hong Kong
    24.1
  87. 86Kwai ChungKwai Tsing District, Hong Kong
    24.1
  88. 86OurenseGalicia, Spain
    24.1
  89. 89BihaćFederation of B&H, Bosnia and Herzegovina
    24.0
  90. 90Botevgradlow-cost sensorsSofia, Bulgaria
    23.9
  91. 91KranjUrban Municipality of Kranj, Slovenia
    23.8
  92. 92Jastrzębie ZdrójSilesia, Poland
    23.7
  93. 93AshgabatAshgabat, Turkmenistan
    23.6
  94. 94BakersfieldCalifornia, United States
    23.4
  95. 95LimaLima Province, Peru
    23.3
  96. 96Addis AbabaAddis Ababa, Ethiopia
    23.2
  97. 96ThessaloníkiCentral Macedonia, Greece
    23.2
  98. 96OtwockMazovia, Poland
    23.2
  99. 96Novo MestoUrban Municipality of Novo Mesto, Slovenia
    23.2
  100. 100ŁaskŁódź Voivodeship, Poland
    23.0
  101. 101Quezon Citylow-cost sensorsNational Capital Region, Philippines
    22.9
  102. 102Tsuen WanTsuen Wan, Hong Kong
    22.8
  103. 102VictoriaCentral and Western, Hong Kong
    22.8
  104. 104FresnoCalifornia, United States
    22.6
  105. 105Winterthurlow-cost sensorsZurich, Switzerland
    22.5
  106. 105BellinzonaTicino, Switzerland
    22.5
  107. 107LučenecBanská Bystrica Region, Slovakia
    22.2
  108. 108KazincbarcikaBorsod-Abaúj-Zemplén, Hungary
    22.1
  109. 108Tha BoNong Khai, Thailand
    22.1
  110. 110Sham Shui PoSham Shui Po District, Hong Kong
    22.0
  111. 110ZvolenBanská Bystrica Region, Slovakia
    22.0
  112. 110KutnoŁódź Voivodeship, Poland
    22.0
  113. 113Dimitrovgradlow-cost sensorsHaskovo, Bulgaria
    21.9
  114. 113ClovisCalifornia, United States
    21.9
  115. 115Romans-sur-IsèreAuvergne-Rhône-Alpes, France
    21.8
  116. 116RacibórzSilesia, Poland
    21.6
  117. 116Bielsko-BialaSilesia, Poland
    21.6
  118. 118KatowiceSilesia, Poland
    21.4
  119. 119AberdeenSouthern District, Hong Kong
    21.3
  120. 120Sau Mau PingKwun Tong District, Hong Kong
    21.2
  121. 120HanfordCalifornia, United States
    21.2
  122. 122Haskovolow-cost sensorsHaskovo, Bulgaria
    21.1
  123. 123LleidaCatalonia, Spain
    21.0
  124. 124RadomMazovia, Poland
    20.9
  125. 124XinyingTaiwan, Taiwan
    20.9
  126. 124AbasoloGuanajuato, Mexico
    20.9
  127. 127KościanGreater Poland, Poland
    20.7
  128. 127MariborUrban Municipality of Maribor, Slovenia
    20.7
  129. 129CelayaGuanajuato, Mexico
    20.6
  130. 130MiskolcBorsod-Abaúj-Zemplén, Hungary
    20.5
  131. 130DębicaSubcarpathia, Poland
    20.5
  132. 130VigoGalicia, Spain
    20.5
  133. 130Florinlow-cost sensorsCalifornia, United States
    20.5
  134. 134NiskoSubcarpathia, Poland
    20.4
  135. 134Sha TinSha Tin, Hong Kong
    20.4
  136. 134ŻywiecSilesia, Poland
    20.4
  137. 137SocorroTexas, United States
    20.3
  138. 138WłocławekKujawsko-Pomorskie, Poland
    20.2
  139. 138KaliszGreater Poland, Poland
    20.2
  140. 140IzegemFlanders, Belgium
    20.1
  141. 141GyőrGyőr-Moson-Sopron, Hungary
    19.9
  142. 141TrbovljeMunicipality of Trbovlje, Slovenia
    19.9
  143. 143StarachowiceŚwiętokrzyskie, Poland
    19.8
  144. 143Chiayi CityTaiwan, Taiwan
    19.8
  145. 145LublinLublin, Poland
    19.7
  146. 145DziałdowoWarmia-Masuria, Poland
    19.7
  147. 145MeylanAuvergne-Rhône-Alpes, France
    19.7
  148. 145OpoleOpole Voivodeship, Poland
    19.7
  149. 149San Luis de la PazGuanajuato, Mexico
    19.6
  150. 150Sevlievolow-cost sensorsGabrovo, Bulgaria
    19.5
  151. 150KielceŚwiętokrzyskie, Poland
    19.5
  152. 152Czechowice-DziedziceSilesia, Poland
    19.4
  153. 152San ClementeIca, Peru
    19.4
  154. 154NogalesArizona, United States
    19.3
  155. 155YongkangTaiwan, Taiwan
    19.2
  156. 155GrazStyria, Austria
    19.2
  157. 155SalamancaGuanajuato, Mexico
    19.2
  158. 158TainanTaiwan, Taiwan
    19.1
  159. 159MaderaCalifornia, United States
    19.0
  160. 160HasseltFlanders, Belgium
    18.9
  161. 160DouaiHauts-de-France, France
    18.9
  162. 160DrammenBuskerud, Norway
    18.9
  163. 163Villa Poeta José Gálvez BarrenecheaLima region, Peru
    18.8
  164. 163ComptonCalifornia, United States
    18.8
  165. 165PátraWest Greece, Greece
    18.7
  166. 165DouliuTaiwan, Taiwan
    18.7
  167. 165PuliTaiwan, Taiwan
    18.7
  168. 165MantecaCalifornia, United States
    18.7
  169. 169DunkirkHauts-de-France, France
    18.6
  170. 169DenainHauts-de-France, France
    18.6
  171. 169ŁódźŁódź Voivodeship, Poland
    18.6
  172. 172ŻyrardówMazovia, Poland
    18.5
  173. 172PrzemyślSubcarpathia, Poland
    18.5
  174. 174AlgiersAlgiers, Algeria
    18.4
  175. 174RixensartWallonia, Belgium
    18.4
  176. 174RoubaixHauts-de-France, France
    18.4
  177. 174KłodzkoLower Silesia, Poland
    18.4
  178. 174Kędzierzyn-KoźleOpole Voivodeship, Poland
    18.4
  179. 174ManlleuCatalonia, Spain
    18.4
  180. 180MoulinsAuvergne-Rhône-Alpes, France
    18.3
  181. 180EsztergomKomárom-Esztergom, Hungary
    18.3
  182. 180RadomskoŁódź Voivodeship, Poland
    18.3
  183. 180KrakówLesser Poland, Poland
    18.3
  184. 184KortrijkFlanders, Belgium
    18.2
  185. 184Hawthornelow-cost sensorsCalifornia, United States
    18.2
  186. 186BorCentral Serbia, Serbia
    18.1
  187. 186ZhushanTaiwan, Taiwan
    18.1
  188. 186LochristiFlanders, Belgium
    18.1
  189. 186KoprivnicaKoprivnica-Križevci, Croatia
    18.1
  190. 186San Francisco De BorjaLima region, Peru
    18.1
  191. 191ErlunTaiwan, Taiwan
    18.0
  192. 191RoeselareFlanders, Belgium
    18.0
  193. 191MaldegemFlanders, Belgium
    18.0
  194. 191ValenciennesHauts-de-France, France
    18.0
  195. 191LugoGalicia, Spain
    18.0
  196. 196PruszkówMazovia, Poland
    17.9
  197. 196Bishkeklow-cost sensorsBishkek, Kyrgyzstan
    17.9
  198. 196CreilHauts-de-France, France
    17.9
  199. 196Jelenia GóraLower Silesia, Poland
    17.9
  200. 200PhoenixArizona, United States
    17.8

Top 200 of 2,133 shown.

Good0–9.0
Moderate9.1–35.4
Sensitive groups35.5–55.4
Unhealthy55.5–125.4
Very unhealthy125.5–225.4
Hazardous225.5+